AI Path Finder
A six-question experience assigns a clear wellness path and generates a validated, non-diagnostic seven-day plan.
Supreme Team Media · Platform case study
Coastal wellness editorial meets an interactive digital product—designed to make personalization, evidence, and honest service journeys feel calm and clear.
Experience the Path Finder
What this demonstrates
This build demonstrates how a content-rich brand can combine considered visual design with real product behavior—without disguising planned products, private drafts, or unavailable services as finished.
A six-question experience assigns a clear wellness path and generates a validated, non-diagnostic seven-day plan.
Public-health recommendations and sourced statistics keep population, date, comparison, and limits visible.
A structured publication library connects wellness paths, reviewed resources, planned programs, authors, dates, and sources.
Consent-aware plan copies and inquiry acknowledgements use native Lovable email with guarded, idempotent server delivery.
Responsive data visualization, interactive plan previews, program curricula, search, filtering, and inquiry workflows share one system.
Semantic structure, visible focus, large controls, honest states, reduced-motion support, and mobile-first layouts are built in.

Architecture
TanStack React on Lovable, responsive page architecture, reusable interaction and media systems.
Lovable AI generates structured plans through a versioned, validated prompt and strict wellness guardrails.
Lovable Cloud powers published content, admin workflows, access controls, inquiries, and native transactional email.
Source transparency, privacy-conscious forms, accessible interaction, and reduced-motion behavior are part of the implementation—not a finishing note.
See the work in context
Explore the evidence-led library or create a personalized starting plan from the live experience.